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Secrets of Gosu: Understanding Physical Combat Skills of Professional Players in First-Person Shooters

Title
Secrets of Gosu: Understanding Physical Combat Skills of Professional Players in First-Person Shooters
Author(s)
Park, EunjiLee, SangyoonHam, AuejinChoi, MinyeopKim, SunjunLee, Byungjoo
Issued Date
2021-05-10
Citation
ACM Conference on Human Factors in Computing Systems, pp.1 - 14
Type
Conference Paper
ISBN
9781450380966
Abstract
In first-person shooters (FPS), professional players (a.k.a., Gosu) outperform amateur players. The secrets behind the performance of professional FPS players have been debated in online communities with many conjectures; however, attempts of scientific verification have been limited. We addressed this conundrum through a data-collection study of the gameplay of eight professional and eight amateur players in the commercial FPS Counter-Strike: Global Offensive. The collected data cover behavioral data from six sensors (motion capture, eye tracker, mouse, keyboard, electromyography armband, and pulse sensor) and in-game data (player data and event logs). We examined conjectures in four categories: aiming, character movement, physicality, and device and settings. Only 6 out of 13 conjectures were supported with statistically sufficient evidence.
URI
http://hdl.handle.net/20.500.11750/46934
DOI
10.1145/3411764.3445217
Publisher
Association for Computing Machinery
Related Researcher
  • 김선준 Kim, Sunjun
  • Research Interests Human Computer Interaction; Text Entry; Touch screen; Pointing
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Appears in Collections:
Department of Electrical Engineering and Computer Science Smart Input Device Laboratory 2. Conference Papers

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